Time Parallel Time Integration (Paperback)
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York, 2024
- Softcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 137.81
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Paperback. Predicting the future is a difficult task but, as with the weather, it is possible with good models. But how does one predict the far future before the near future is known? Time parallel time integration, also known as PinT (Parallel-in-Time) methods, aims to predict the near and far future simultaneously. In this self-contained book, the first on the topic, readers will find a comprehensive and up-to-date description of methods and techniques that have been developed to do just this.The authors describe the four main classes of PinT methods: shooting-type methods, waveform relaxation methods, time parallel multigrid methods, and direct time parallel methods. In addition, they provide historical background for each of the method classes, complete convergence analyses for the most representative variants of the methods in each class, and illustrations and runnable MATLAB code. PinT methods predict near and far future simultaneously using parallel time integration. The work examines four classesshooting-type, waveform relaxation, time-parallel multigrid, and direct methodsbolstered by historical context, convergence analyses, practical illustrations, and runnable MATLAB code. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
Seller Inventory # 9781611978018
- Title
- Time Parallel Time Integration (Paperback)
- Author
- Martin J. Gander
- Publisher
- Society for Industrial & Applied Mathematics,U.S., New York
- Publication year
- 2024
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1611978017
- ISBN 13
- 9781611978018
The authors describe the four main classes of PinT methods: shooting-type methods, waveform relaxation methods, time parallel multigrid methods, and direct time parallel methods. In addition, they provide historical background for each of the method classes, complete convergence analyses for the most representative variants of the methods in each class, and illustrations and runnable MATLAB code.
"Synopsis" may belong to another edition of this title.
About the Author
Thibaut Lunet is a postdoctoral fellow at Hamburg University of Technology. After completing his Ph.D. on time parallelization strategies for numerical simulation of turbulent flows at ISAE-SUPAERO and CERFACS (Toulouse University, France, 2018), he was a postdoctoral fellow with Martin Gander, which led to the genesis of this book. His research interests focus on numerical methods for time integration and parallel computing, numerical analysis and scientific computing, and computational fluid dynamics.
"About the title" may belong to another edition of this title.
AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
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